Analysis of interface trap induced ledge in β-Ga2O3 based MOS structures using UV-assisted capacitance–voltage measurements

Aditya K. Bhat, Hyun-Seop Kim, Abhishek Mishra, Matthew D. Smith, Michael J. Uren, Martin Kuball
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Abstract

A ledge feature in the capacitance–voltage (CV) profiles of Ga2O3 MOS (metal–oxide–semiconductor) capacitors is investigated using UV-assisted CV measurements. A model is presented whereby the capacitance ledge is associated with carrier trapping in deep-level states at the Al2O3/Ga2O3 interface. Following UV assisted emptying of interface traps at a constant bias, a voltage ramp toward flatband results in a CV ledge when the trap recombination current becomes equal to the quasi-static sweep charging current. The ledge continues until all the traps below the corresponding pinned surface potential have been filled. Varying the UV energy varies the ledge voltage range and allows a density of states to be determined as a function of energy. A broad interface state peak with maximum density ∼8 × 1012 cm−2 eV−1 for deep trap energies lying between 2.4 and 4.1 eV below the conduction band (CB) edge is extracted. Using the conductance method, the interface trap density is also found to rise toward the CB edge in the range 0.25–0.45 eV below the CB edge, reaching a maximum density of ∼1 × 1012 cm−2 eV−1. Combining these two techniques, an interface trap distribution is estimated for almost the entirety of the bandgap of Ga2O3. This novel technique probes deep interface states where standard methods fail to quantify interface states reliably.
利用紫外辅助电容-电压测量法分析基于 β-Ga2O3 的 MOS 结构中的界面陷阱诱导壁架
利用紫外辅助 CV 测量法研究了 Ga2O3 MOS(金属氧化物半导体)电容器电容-电压(CV)曲线中的台阶特征。根据该模型,电容台阶与 Al2O3/Ga2O3 界面深层态的载流子捕获有关。在恒定偏压下,紫外光辅助清空界面陷阱后,当陷阱重组电流等于准静态扫描充电电流时,电压斜坡趋向于平带,从而产生 CV 边沿。前沿一直持续到相应引脚表面电位以下的所有陷阱都被填满为止。改变紫外能量可改变边沿电压范围,并根据能量函数确定态密度。在导带(CB)边缘以下 2.4 至 4.1 eV 的深阱能量范围内,提取出一个宽的界面态峰值,其最大密度为 8 × 1012 cm-2 eV-1。利用电导法,还发现界面陷阱密度在CB边缘以下0.25-0.45 eV范围内向CB边缘上升,达到最大密度∼1 × 1012 cm-2 eV-1。结合这两项技术,几乎可以估算出整个 Ga2O3 带隙的界面陷阱分布。这种新技术可以探测深层界面态,而标准方法无法可靠地量化界面态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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